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In cognitive radio (CR) communication systems, achieving high secondary user(SU) rate in the presence of strong cross-link interference with the primaryuser (PU) is challenging. In this letter, we exploit the emerging intelligentreflecting surface (IRS) technology to tackle this problem. Specifically, weinvestigate an IRS-assisted CR communication system where an IRS is deployed toassist in the spectrum sharing between a PU link and an SU link. We aim tomaximize the achievable SU rate subject to a givensignal-to-interference-plus-noise ratio target for the PU link, by jointlyoptimizing the SU transmit power and IRS reflect beamforming. Since theformulated problem is difficult to solve due to its non-convexity and coupledvariables, we propose an efficient algorithm based on alternating optimizationand successive convex approximation techniques to solve it sub-optimally, alongwith some heuristic designs for lower complexity. Simulation results show thatIRS is able to significantly improve the SU rate, even for the scenarios deemedmost challenging in conventional CR systems without using IRS.

Joint Power Control and Passive Beamforming in IRS-Assisted Spectrum Sharing